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SemEval 2025: all accepted papers

329 papers · page 2 of 4 · the most cited first · ← SemEval 2025

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  1. HausaNLP at SemEval-2025 Task 2: Entity-Aware Fine-tuning vs. Prompt Engineering in Entity-Aware Machine Translation ↗Abdulhamid Abubakar, Hamidatu Abdulkadir, Rabiu Ibrahim et al.
  2. HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection ↗Maryam Bala, Amina Abubakar, Abdulhamid Abubakar et al.
  3. Heimerdinger at SemEval-2025 Task 11: A Multi-Agent Framework for Perceived Emotion Detection in Multilingual Text ↗Zeliang Tong, Zhuojun Ding, Yingjia Li
  4. HiTZ-Ixa at SemEval-2025 Task 1: Multimodal Idiomatic Language Understanding ↗Anar Yeginbergen, Elisa Sanchez-Bayona, Andrea Jaunarena et al.
  5. Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging ↗Hadi Bayrami Asl Tekanlou, Jafar Razmara, Mahsa Sanaei et al.
  6. Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD ↗Saurav K. Aryal, Mildness Akomoize
  7. Howard University-AI4PC at SemEval-2025 Task 10: Ensembling LLMs for Multi-lingual Multi-Label and Multi-Class Meta-Classification ↗Saurav K. Aryal, Prasun Dhungana
  8. Howard University-AI4PC at SemEval-2025 Task 11: Combining Expert Personas via Prompting for Enhanced Multilingual Emotion Analysis ↗Amir Ince, Saurav K. Aryal
  9. Howard University-AI4PC at SemEval-2025 Task 1: Using GPT-4o and CLIP-ViLT to Decode Figurative Language Across Text and Images ↗Saurav K. Aryal, Lawal Abdulmujeeb
  10. Howard University-AI4PC at SemEval-2025 Task 2: Improving Machine Translation With Context-Aware Entity-Only Pre-translations with GPT4o ↗Saurav K. Aryal, Jabez Agyemang-Prempeh
  11. Howard University-AI4PC at SemEval-2025 Task 4: Unlearning Sensitive Content From Large Language Models Using Finetuning and Distillation for Selective Knowledge Removal ↗Aayush Acharya, Saurav K. Aryal
  12. Howard University-AI4PC at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval-Combining Zero-Shot Claim Extraction and KNN-Based Classification for Multilingual Claim Matching ↗Suprabhat Rijal, Saurav K. Aryal
  13. Howard University-AI4PC at SemEval-2025 Task 8: DeepTabCoder - Code-based Retrieval and In-context Learning for Question-Answering over Tabular Data ↗Saharsha Tiwari, Saurav K. Aryal
  14. Howard University-AI4PC at SemEval-2025 Task 9: Using Open-weight BART-MNLI for Zero Shot Classification of Food Recall Documents ↗Saurav K. Aryal, Kritika Pant
  15. I2R-NLP at SemEval-2025 Task 8: Question Answering on Tabular Data ↗Yuze Gao, Bin Chen, Jian Su
  16. IASBS at SemEval-2025 Task 11: Ensembling Transformers for Bridging the Gap in Text-Based Emotion Detection ↗Mehrzad Tareh, Erfan Mohammadzadeh, Aydin Mohandesi et al.
  17. IEGPS-CSIC at SemEval-2025 Task 11: BERT-based approach for Multi-label Emotion Detection in English and Russian texts ↗Albina Sarymsakova, Patricia Martin-Rodilla
  18. INFOTEC-NLP at SemEval-2025 Task 11: A Case Study on Transformer-Based Models and Bag of Words ↗Emmanuel Santos-Rodriguez, Mario Graff
  19. IRNLP at SemEval-2025 Task 10: Multilingual Narrative Characterization and Classification ↗Panagiotis Kiousis
  20. ITF-NLP at SemEval-2025 Task 11 An Exploration of English and German Multi-label Emotion Detection using Fine-tuned Transformer Models ↗Samantha Kent, Theresa Nindel
  21. ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code Generation ↗Atakan Site, Emre Erdemir, Gülşen Eryiğit
  22. IUST_Champs at SemEval-2025 Task 8: Structured Prompting and Retry Policy for Tabular Question Answering ↗Arshia Hossein Zadeh, Aysa Mayahinia, Nafiseh Ahmadi
  23. Irapuarani at SemEval-2025 Task 10: Evaluating Strategies Combining Small and Large Language Models for Multilingual Narrative Detection ↗Gabriel Assis, Lívia de Azevedo, João Vitor de Moraes et al.
  24. JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models ↗Jieying Xue, Phuong Minh Nguyen, Minh Le Nguyen et al.
  25. JNLP at SemEval-2025 Task 1: Multimodal Idiomaticity Representation with Large Language Models ↗Blake Matheny, Phuong Minh Nguyen, Minh Le Nguyen
  26. JU-CSE-NLP'25 at SemEval-2025 Task 4: Learning to Unlearn LLMs ↗Arkajyoti Naskar, Dipankar Das, Sivaji Bandyopadhyay
  27. JUNLP_Sarika at SemEval-2025 Task 11: Bridging Contextual Gaps in Text-Based Emotion Detection using Transformer Models ↗Sarika Khatun, Dipanjan Saha, Dipankar Das
  28. JU_NLP at SemEval-2025 Task 7: Leveraging Transformer-Based Models for Multilingual & Crosslingual Fact-Checked Claim Retrieval ↗Atanu Nayak, Srijani Debnath, Arpan Majumdar et al.
  29. JellyK at SemEval-2025 Task 11: Russian Multi-label Emotion Detection with Pre-trained BERT-based Language Models ↗Khoa Anh-Nguyen Le, Dang Van Thin
  30. Jim at SemEval-2025 Task 5: Multilingual BERT Ensemble ↗Jim Hahn
  31. KostasThesis2025 at SemEval-2025 Task 10 Subtask 2: A Continual Learning Approach to Propaganda Analysis in Online News ↗Konstantinos Eleftheriou, Panos Louridas, John Pavlopoulos
  32. KyuHyunChoi at SemEval-2025 Task 10: Narrative Extraction Using a Summarization-Specific Pretrained Model ↗Kyu Hyun Choi, Seung Hoon Na
  33. LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced Data ↗Jesús Vázquez-Osorio, Helena Gómez-Adorno, Gerardo Sierra et al.
  34. LATE-GIL-nlp at Semeval-2025 Task 10: Exploring LLMs and transformers for Characterization and extraction of narratives from online news ↗Ivan Diaz, Fredin Vázquez, Christian Luna et al.
  35. LA\texttwosuperiorI\texttwosuperiorF at SemEval-2025 Task 5: Reasoning in Embedding Space – Fusing Analogical and Ontology-based Reasoning for Document Subject Tagging ↗Andrea Salfinger, Luca Zaccagna, Francesca Incitti et al.
  36. LCTeam at SemEval-2025 Task 3: Multilingual Detection of Hallucinations and Overgeneration Mistakes Using XLM-RoBERTa ↗Araya Hailemariam, Jose Maldonado Rodriguez, Ezgi Başar et al.
  37. LTG at SemEval-2025 Task 10: Optimizing Context for Classification of Narrative Roles ↗Egil Rønningstad, Gaurav Negi
  38. Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMs ↗Aleksey Kudelya, Alexander Shirnin
  39. Last Minute at SemEval-2025 Task 5: RAG System for Subject Tagging ↗Zahra Sarlak, Ebrahim Ansari
  40. Lazarus NLP at SemEval-2025 Task 11: Fine-Tuning Large Language Models for Multi-Label Emotion Classification via Sentence-Label Pairing ↗Wilson Wongso, David Setiawan, Ananto Joyoadikusumo et al.
  41. Lotus at SemEval-2025 Task 11: RoBERTa with Llama-3 Generated Explanations for Multi-Label Emotion Classification ↗Niloofar Ranjbar, Hamed Baghbani
  42. LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA ↗Adrián López Gude, Roi Santos Ríos, Francisco Prado Valiño et al.
  43. MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation ↗Claudio Savelli, Alkis Koudounas, Flavio Giobergia
  44. MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs ↗Claudio Savelli, Evren Munis, Erfan Bayat et al.
  45. MINDS at SemEval-2025 Task 8: Question Answering Over Tabular Data via Large Language Model-generated SQL Queries ↗Flavio Giobergia
  46. MINDS at SemEval-2025 Task 9: Multi-Task Transformers for Food Hazard Coarse-Fine Classification ↗Flavio Giobergia
  47. MRS at SemEval-2025 Task 11: A Hybrid Approach for Bridging the Gap in Text-Based Emotion DetectionMilad Afshari, Richard Frost, Samantha Kissel et al.our summary
  48. MRT at SemEval-2025 Task 8: Maximizing Recovery from Tables with Multiple Steps ↗Maximiliano Hormazábal Lagos, Álvaro Bueno Sáez, Héctor Cerezo-Costas et al.
  49. MSA at SemEval-2025 Task 3: High Quality Weak Labeling and LLM Ensemble Verification for Multilingual Hallucination Detection ↗Baraa Hikal, Ahmed Nasreldin, Ali Hamdi
  50. McGill-NLP at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection ↗Vivek Verma, David Ifeoluwa Adelani
  51. Modgenix at SemEval-2025 Task 1: Context Aware Vision Language Ranking (CAViLR) for Multimodal Idiomaticity Understanding ↗Joydeb Mondal, Pramir Sarkar
  52. Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU ↗Arjun Dosajh, Mihika Sanghi
  53. MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment ↗Mohammad Mahdi Abootorabi, Alireza Ghahramani Kure, Mohammadali Mohammadkhani et al.
  54. MyMy at SemEval-2025 Task 9: A Robust Knowledge-Augmented Data Approach for Reliable Food Hazard Detection ↗Ben Phan, Jung-Hsien Chiang
  55. NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject Recommendation ↗Baharul Islam, Nasim Ahmad, Ferdous Barbhuiya et al.
  56. NCL-AR at SemEval-2025 Task 7: A Sieve Filtering Approach to Refute the Misinformation within Harmful Social Media Posts ↗Alex Robertson, Huizhi Liang
  57. NCL-NLP at SemEval-2025 Task 11: Using Prompting engineering framework and Low Rank Adaptation of Large Language Models for Multi-label Emotion Detection ↗Kun Lu
  58. NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SelfCheckGPT ↗Jiaying Hong, Thanet Markchom, Jianfei Xu et al.
  59. NCLTeam at SemEval-2025 Task 10: Enhancing Multilingual, multi-class, and Multi-Label Document Classification via Contrastive Learning Augmented Cascaded UNet and Embedding based Approaches ↗Shu Li, George Williamson, Huizhi Liang
  60. NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy ↗Chi Kuan Lai, Yifei Chen
  61. NITK-VITAL at SemEval-2025 Task 11: Focal-RoBERTa: Addressing Class Imbalance in Multi-Label Emotion Classification ↗Ashinee Kesanam, Gummuluri Venkata Ravi Ram, Chaithanya Swaroop Banoth et al.
  62. NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion Detection ↗Guillermo Segura-Gómez, Adrian Pastor Lopez Monroy, Fernando Sanchez-Vega et al.
  63. NLP-DU at SemEval-2025 Task 11: Analyzing Multi-label Emotion Detection ↗Sadman Sakib, Ahaj Faiak, Abdullah Ibne Hanif Arean et al.
  64. NLPART at SemEval-2025 Task 4: Forgetting is harder than Learning ↗Hoorieh Sabzevari, Milad Molazadeh Oskuee, Tohid Abedini et al.
  65. NLP_CIMAT at SemEval-2025 Task 3: Just Ask GPT or look Inside. A prompt and Neural Networks Approach to Hallucination Detection ↗Jaime Stack-Sánchez, Miguel Alvarez-Carmona, Adrian Pastor Lopez Monroy
  66. NLP_goats at SemEval-2025 Task 11: Multi-Label Emotion Classification Using Fine-Tuned Roberta-Large Tranformer ↗Vijay Karthick Vaidyanathan, Srihari V K, Mugilkrishna D U et al.
  67. NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation Learning ↗Nguyen Pham Hoang Le, An Nguyen Tran Khuong, Tram Nguyen Thi Ngoc et al.
  68. NUST Titans at SemEval-2025 Task 11: AfroEmo: Multilingual Emotion Detection with Adaptive Afro-XLM-R ↗Mehwish Fatima, Maham Khan, Hajra Binte Naeem et al.
  69. NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction ↗Zhe-Yu Xu, Yu-Hsin Wu, Lung-Hao Lee
  70. NarrativeMiners at SemEval-2025 Task 10: Combating Manipulative Narratives in Online News ↗Muhammad Khubaib, Muhammad Shoaib Khursheed, Muminah Khurram et al.
  71. NarrativeNexus at SemEval-2025 Task 10: Entity Framing and Narrative Extraction using BART ↗Hareem Siraj, Kushal Chandani, Dua E Sameen et al.
  72. Narrlangen at SemEval-2025 Task 10: Comparing (mostly) simple multilingual approaches to narrative classification ↗Andreas Blombach, Bao Minh Doan Dang, Stephanie Evert et al.
  73. NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology ↗Dhwani Bhavankar, Het Sevalia, Shubh Agarwal et al.
  74. NlpUned at SemEval-2025 Task 10: Beyond Training: A Taxonomy-Guided Approach to Role Classification Using LLMs ↗Alberto Caballero, Alvaro Rodrigo, Roberto Centeno
  75. NotMyNarrative at SemEval-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models? ↗Geraud Faye, Guillaume Gadek, Wassila Ouerdane et al.
  76. OPI-DRO-HEL at SemEval-2025 Task 9: Integrating Transformer-Based Classification with LLM-Assisted Few-Shot Learning for Food Hazard Detection ↗Martyna Śpiewak, Daniel Karaś
  77. OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion Recognition ↗Daniel Karaś, Martyna Śpiewak
  78. OZemi at SemEval-2025 Task 11: Multilingual Emotion Detection and Intensity ↗Hidetsune Takahashi, Sumiko Teng, Jina Lee et al.
  79. Oath Breakers at SemEval-2025 Task 06: PromiseEval ↗Muhammad Khubaib Mukaddam, Owais Aijaz, Ayesha Enayat
  80. OseiBrefo-Liang at SemEval-2025 Task 8 : A Multi-Agent LLM code generation approach for answering Tabular Questions ↗Emmanuel Osei-Brefo, Huizhi Liang
  81. PAI at SemEval-2025 Task 11: A Large Language Model Ensemble Strategy for Text-Based Emotion Detection ↗Zhihao Ruan, Runyang You, Kaifeng Yang et al.
  82. PALI-NLP at SemEval 2025 Task 1: Multimodal Idiom Recognition and Alignment ↗Runyang You, Xinyue Mei, Mengyuan Zhou
  83. PATeam at SemEval-2025 Task 10: Two-stage News Analytical Framework: Target-oriented Semantic Segmentation and Sequence Generation LLMs for Cross-Lingual Entity and Narrative Analysis ↗Ling Sun, Xue Wan, Yuyang Lin et al.
  84. PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection ↗Xue Wan, Fengping Su, Ling Sun et al.
  85. Pixel Phantoms at SemEval-2025 Task 11: Enhancing Multilingual Emotion Detection with a T5 and mT5-Based Approach ↗Jithu Morrison S, Janani Hariharakrishnan, Harsh Pratap Singh
  86. PoliTo at SemEval-2025 Task 1: Beyond Literal Meaning: A Chain-of-Though Approach for Multimodal Idiomacity Understanding ↗Lorenzo Vaiani, Davide Napolitano, Luca Cagliero
  87. Predicting Emotion Intensity in Text Using Transformer-Based Models ↗Temitope Oladepo, Oluwatobi Abiola, Tolulope Abiola et al.
  88. PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts ↗Ziyi Huang, Xia Cui
  89. PuerAI at SemEval-2025 Task 9: Research on Food Safety Data Classification Using ModernBERT ↗Jiaxu Dao, Zhuoying Li, Xiuzhong Tang et al.
  90. QM-AI at SemEval-2025 Task 6: an Ensemble of BERT Models for Promise Identification in ESG Context ↗Zihang Sun, Filip Sobczak
  91. QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification ↗Angeline Wang, Aditya Gupta, Iran Roman et al.
  92. QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval ↗Youzheng Liu, Jiyan Liu, Xiaoman Xu et al.
  93. QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods ↗Mariia Bogatyreva, Pascal Gaertner, Quim Ribas et al.
  94. QleverAnswering-PUCRS at SemEval-2025 Task 8: Exploring LLM agents, code generation and correction for Table Question Answering ↗André Bergmann Lisboa, Lucas Cardoso Azevedo, Lucas Rafael Costella Pessutto
  95. RACAI at SemEval-2025 Task 7: Efficient adaptation of Large Language Models for Multilingual and Crosslingual Fact-Checked Claim Retrieval ↗Radu-Gabriel Chivereanu, Dan Tufis
  96. RAGthoven at SemEval 2025 - Task 2: Enhancing Entity-Aware Machine Translation with Large Language Models, Retrieval Augmented Generation and Function Calling ↗Demetris Skottis, Gregor Karetka, Marek Suppa
  97. REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models ↗DongGeon Lee, Hwanjo Yu
  98. RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-Based Models and Threshold Tuning ↗Ravindran V, Rajalakshmi Sivanaiah, Angel Deborah S
  99. RUC Team at SemEval-2025 Task 5: Fast Automated Subject Indexing: A Method Based on Similar Records Matching and Related Subject Ranking ↗Xia Tian, Yang Xin, Wu Jing et al.
  100. RaggedyFive at SemEval-2025 Task 3: Hallucination Span Detection Using Unverifiable Answer Detection ↗Wessel Heerema, Collin Krooneman, Simon Van Loon et al.

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